San Jose, CA, United States of America

Minh Q Vu

This inventor holds 4 USPTO granted patents. Top assignees: Finisar Corporation, Other. Active years: 1997-2010.


% Patents Active = 100.0

Average Co-Inventor Count = 3.4

ph-index = 3

Forward Citations = 208(Granted Patents)


Company Filing History:


Years Active: 1997-2010

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4 patents (USPTO):Explore Patents

Title: Minh Q Vu: Innovator in Multi-Chassis Systems

Introduction

Minh Q Vu is a notable inventor based in San Jose, CA (US). He has made significant contributions to the field of multi-chassis systems, holding a total of 4 patents. His work focuses on enhancing the functionality and efficiency of interconnected systems.

Latest Patents

Among his latest patents is the invention titled "Arm and rollback in a multi-chassis system." This patent describes a multi-chassis system that includes at least a first and a second chassis, each containing one or more blades with ports. The system allows for the transmission of an arm condition generated at a first port of a first chassis to additional ports while limiting the reception of a precondition to those specific ports. Another significant patent is "Multiple domains in a multi-chassis system," which details the creation of port domains within a multi-chassis system. This invention involves forming sync groups of chassis and generating port domains based on the relative locations of selected ports.

Career Highlights

Minh Q Vu has worked with Finisar Corporation, where he applied his expertise in multi-chassis systems. His innovative approach has contributed to advancements in network technology and system integration.

Collaborations

Throughout his career, Minh has collaborated with notable individuals such as Randy Ichiro Oyadomari and Frank H Levinson. These partnerships have fostered a creative environment that has led to impactful innovations.

Conclusion

Minh Q Vu's contributions to multi-chassis systems demonstrate his commitment to innovation and excellence in technology. His patents reflect a deep understanding of complex systems and their interconnectivity.

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